Dr Alex Ganose

Dr Alex Ganose is a researcher at Imperial College London, affiliated with the Department of Chemistry. His research interests include Computational Chemistry, Materials Chemistry, and Machine Learning. Dr Ganose's work focuses on leveraging computational methods and machine learning techniques to advance materials science and chemical research. His profile page provides further details on his research and academic activities.

Alex Ganose is a researcher at Imperial College London specializing in Materials Modelling, Energy Materials, and AI for Science. His work focuses on the development of computational tools and methodologies to advance the understanding and design of novel materials for energy applications. Ganose's research includes the prediction of materials properties, the analysis of electronic structures, and the exploration of vacancy-ordered double perovskite halides as potential solar absorbers. He has contributed to the field through the creation of software tools such as sumo and Robocrystallographer, which aid in the analysis of periodic ab initio calculations and automated crystal structure descriptions. His publications highlight the interplay of orbital and relativistic effects in bismuth oxyhalides and the role of anion distribution in mixed halide materials.